AI-ready Healthcare - podcast cover

AI-ready Healthcare

Anirban Mukhopadhyay, Henry Krumbpodcasters.spotify.com
Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready. I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.

Episodes

Karim Lekadir: Health Equity in MICCAI

Karim Lekadir is an ICREA Research Professor in the Department of Mathematics and Computer Science at the University of Barcelona. He investigates new data science techniques for trustworthy and ethical artificial intelligence in medicine. He has been PI of many EU-funded projects, and was awarded an ERC Consolidator grant to investigate new AI techniques for resource-limited settings. Karim was the General Chair for the MICCAI 2024, that happened in Morocco. FUTURE-AI : international consensus ...

Apr 07, 202543 minSeason 13Ep. 4

Zhongliang Jiang: Robotic Ultrasound

Zhongliang Jiang is leading the Robotics and Ultrasound Team at TU Munich, Germany. His research spans over medical robotics, robot learning, control and robotic ultrasound. Zhongliang's YouTube channel

Mar 31, 202552 minSeason 13Ep. 3

Linda Johnson: Clinical validation of ECG AI

Linda Johnson is an associate professor on cardiovascular research at the Lund university, Sweden. Artificial intelligence for direct-to-physician reporting of ambulatory electrocardiography

Mar 25, 202540 minSeason 13Ep. 2

Mauricio Reyes: XAI in Radiotherapy

Mauricio Reyes is a professor at the ARTORG center in the university of Bern, Switzerland. Beyond pure academic research, Mauricio is quite successful in translational research. He co-founded Crisalix and got the first FDA-approval on AI for brain tumor patients. Mauricio is deeply interested in communicating science and technology to the broader audience.

Mar 18, 202541 minSeason 13Ep. 1

Daniel Truhn: LLMs can perform Radiology Reporting

Daniel Truhn is a physicist, imaging scientist, and clinical radiologist with a dedicated focus on machine learning and MRI. He is currently a professor in University Hospital Aachen, Germany bringing a series of work on Large Language Models for Radiology reporting.

Dec 24, 202449 minSeason 12Ep. 7

Drew Williamson: The PathChat Story

Drew Williamson is a board certified pathologist who is focusing on pathology AI. Drew is part of the Emory Empathetic AI for Health Institute and the AI.Humanity initiative at Emory University, Atlanta, USA. We will hear all about his exciting research on clinical translation of Pathology AI. A multimodal generative AI copilot for human pathology...

Dec 17, 202448 min

Jayashree kalpathy Cramer: Eye AI

Jayashree kalpathy Cramer is the chief of the Division of Artificial Medical Intelligence in Ophthalmology at the University of Colorado (CU) School of Medicine . Jayashree is focusing on translational artificial intelligence (AI) for effective patient care practices at the Sue Anschutz-Rodgers Eye Center ....

Dec 10, 202448 minSeason 12Ep. 5

Randy Ellis: Surgical AI in the Orthopaedics

Professor Randy Ellis is a legendary figure within the computer-assisted orthopedic surgery community. His primary appointment is in the School of Computing with additional appointments at the Mechanical and Materials Engineering, Surgery, and Biomedical and Molecular Sciences at the Queen's University, Canada. He has been a Fellow of several organizations such as IEEE, American Society for Mechanical Engineering (ASME) etc.

Dec 03, 202452 minSeason 12Ep. 4

Uta Schmidt-Straßburger: Oncology AI that empowers patients

Uta Schmidt-Strassburer is the scientific director of the Advanced Oncology study program at the Ulm university Germany. She is also a fellow podcaster, running the bilingual "caring and sharing" podcast on advanced oncology. Over the years, Uta has developed a critical appreciation towards oncology AI.

Nov 26, 202450 min

Juan Verde: A surgeon making Operating Rooms AI-ready

Juan Verde is a Digestive and hepato-biliary-pancreatic Surgeon by training with a deep passion for surgical AI. Juan is currently working as a full-time Research Associate at the Institute of Image-Guided Surgery in Strasbourg, France.

Nov 19, 202457 minSeason 12Ep. 2

Michael Levin: Collective and Diverse Intelligence

Michael Levin is a Distinguished Professor in the Biology at Tufts. Mike also serves as the director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. He is a computer scientist by training, looking at some of the most fundamental questions of biology such as pattern formation, embryogenesis and regeneration. Links to specific ideas and information 1. https://drmichaellevin.org/resources/software.html 2. https://drmichaellevin.org/resources/l...

Nov 12, 202454 minSeason 12Ep. 1

Maciej A. Mazurowski: SAM for Medical AI

Maciej Mazurowski is an Associate Professor of Radiology, Electrical and Computer Engineering, Biostatistics and Bioinformatics, and Computer Science at Duke University. He is also the Scientific Director of the Duke Center for Artificial Intelligence in Radiology and the Director of Radiology Imaging at Duke AI Health. His interest includes domain adaptation and generalization, anomaly detection, and class imbalance in Medical Deep Learning.

Aug 26, 202444 minSeason 11Ep. 7

Yiyu Shi: Resource-aware Medical AI

Professor Yiyu Shi, is a professor of Computer Science and Engineering at the University of Notre dam, USA. He is also a visiting scientist at Boston Children’s Hospital. His research focuses on sustainable computing. The importance of resource awareness in artificial intelligence for healthcare

Aug 19, 202445 minSeason 11Ep. 6

[MICCAI Special] On reviewing well

This episode is about our take on how to review well in MICCAI and related conferences, both for the reviewers and the meta reviewers.

Aug 12, 202452 minSeason 11Ep. 5

Hitesh Dave: The age of Computational Pathology

Hitesh Dave is the Digital Pathology and AI Lead of Roche Diagnostics. Dr. Dave is a Global Change Leader, Chartered Scientist and Strategic management consultant. He will talk about how Roche is restructuring itself for the age of digital and computational pathology. The views shared or expressed here at the podcast are from Hitesh's experience only, and not necessarily represent anything from Roche.

Aug 05, 202434 minSeason 11Ep. 4

Saad Nadeem: Integrated Diagnostics

Saad Nadeem is an assistant attending computer scientist at Memorial Sloan Kettering Cancer Center with dual appointments in the Departments of Medical Physics and Pathology. He is also an adjunct assistant professor in the Department of Applied Mathematics & Statistics at Stony Brook University. Saad focuses on multimodal and multiscale analysis of biomedical data to improve patient outcomes. DeepLIIF...

Jul 29, 202445 minSeason 11Ep. 3

Naren Akash RJ: MICCAI Student Board

MICCAI Student Board Mission The MICCAI Student Board (MSB) represents student interests within the MICCAI society, and aims to stimulate the involvement of students within the MICCAI community. The MSB enhances student networking in the community, engages students in the MICCAI society, and advises the MICCAI board on matters of relevance for students. The MSB organises social and professional and student events during the MICCAI period, in collaboration with local organisers, and maintains the...

Jul 22, 202432 minSeason 11Ep. 2

Islem Rekik: Graph Neural Nets for Brain Connectomics

Islem Rekik is the Director of the Brain And SIgnal Research and Analysis (BASIRA) laboratory (http://basira-lab.com/) and an Associate Professor at Imperial College London (Innovation Hub I-X). Together with BASIRA members, she conducted more than 100 cutting-edge research projects cross-pollinating AI and healthcare —with a sharp focus on brain imaging and neuroscience. She is also a co/chair/organizer of more than 25 international first-class conferences /workshops /competitions (e.g., Afford...

Jul 15, 202459 minSeason 11Ep. 1

Akshay Chaudhari: LLMs for Clinical Text Summarization

Akshay Chaudhari is an Assistant Professor in the Integrative Biomedical Imaging Informatics at the Department of Radiology in Stanford University, USA. He leads the Machine Intelligence in Medical Imaging research group and has a primary research interest at the intersection of artificial intelligence and medical imaging. He also serves as the Associate Director of Research and Education at the Stanford AIMI Center. Adapted large language models can outperform medical experts in clinical text s...

Apr 22, 202454 minSeason 10Ep. 7

Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready

Prof. Rajendra Pratap Gupta is a leading public policy expert with over a decade of experience. Rajendra has worked with the World Economic Forum in the past & has served as an advisor to the Union Health Minister of India. He is focusing on designing digital health policies to make healthcare AI-ready.

Apr 15, 202442 minSeason 10Ep. 6

H.R. Tizhoosh: Foundation models in Histopathology

Prof. Hamid Tizhoosh explores the applications of artificial intelligence (AI) in medicine, particularly in medical image analysis and cross relations to other patient data such as molecular, laboratory and textual data. His research is currently focused on search and matching in archives of patient data. Foundation Models for Histopathology—Fanfare or Flair Creating an atlas of normal tissue for pruning WSI patching through anomaly detection...

Apr 08, 202450 minSeason 10Ep. 5

S. Kevin Zhou: Building a Medical Time Machine

Prof. Kevin Zhou is a Distinguished Professor and Founding Executive Dean of School of Biomedical Engineering, University of Science and Technology of China (USTC). Before this, Dr. Zhou was a Principal Expert and a Senior R&D Director at Siemens Healthcare Research. He has been elected as a fellow of several top societies such as AIMBE, IEEE and MICCAI. Prof. Zhou serves the MICCAI society as a board member and currently focuses on generative AI for medical imaging.

Apr 02, 202445 minSeason 10Ep. 4

Alexander Hann: AI for endoscopic imaging

Alexander Hann is a gastroenterologist at Uniklinik Würzburg, Germany and holds a professorship for digital transformation in gastroenterology, which focuses on AI support for endoscopic imaging.

Mar 26, 202446 minSeason 10Ep. 3

Damini Dey: Cardiology AI

Damini Dey is a professor in Biomedical Sciences at Cedars Sinai Medical center, Los Angeles, USA. Professor Dey focuses on automated derivation of imaging measures from noninvasive cardiac image data, clinical implementation of novel automated computer processing algorithms, and the application of these tools to solve key clinical problems. Her success stories include QFAT and AutoPlaque softwares.

Mar 19, 202438 minSeason 10Ep. 2

Enzo Ferrante: Fairness in Medical AI

Enzo Ferrante is a Research Scientist at Universidad Nacional del Litoral in Santa Fe, Argentina. Enzo focuses on machine learning methods for biological and medical image analysis, including domain adaptation and segmentation with anatomical priors. Addressing fairness in artificial intelligence for medical imaging

Mar 12, 202446 minSeason 10Ep. 1

Joe Lennerz: Berlin Declaration of Health Data Sharing

Prof. Jochen Lennerz is the Medical Director of the Center for Integrated Diagnostics at the Massachusetts General Hospital, USA. He is a board-certified pathologist by training and has professorship appointments at Harvard medical School. Prof. Lennerz co-organized the Data4Health 2023 conference in Berlin with the health minister of Germany Prof. Karl Lauterbach. Data4Health 2023 Berlin...

Dec 19, 202350 minSeason 9Ep. 7

Neel Dey: Invariances and Covariances of Medical Imaging

Neel Dey is a postdoctoral researcher at MIT CSAIL in Polina Golland’s Medical Vision Group, where he is building dense representation learning and domain randomization methods for data and compute-efficient learning tasks. Neel got his Ph.D. from New York University under Guido Gerig where he worked on generative models and inverse problems in medical image analysis. E(3) x SO(3) - Equivariant Networks for Spherical Deconvolution in Diffusion MRI AnyStar: Domain randomized universal star-convex...

Dec 12, 202344 minSeason 9Ep. 6

Maria Zuluaga: Trustworthy Medical AI

Maria Zuluaga is an assistant professor in the Data Science department at EURECOM , France. Additionally Maria holds a junior chair at the 3IA Institute Côte d’Azur and also a visiting Senior Lecturer at King’s College London . She focuses on machine learning techniques that can be safely deployed in high risk domains, such as healthcare, by addressing data complexity, low tolerance to errors and poor reproducibility. From Accuracy to Reliability and Robustness in Cardiac Magnetic Resonance Imag...

Dec 05, 202343 minSeason 9Ep. 5

Heather Couture: Oncopathology AI

Dr. Heather Couture is a Consultant, a Researcher and a Writer. Heather is a consultant and owner of Pixel Scientia Labs. She works on a variety of interdisciplinary R&D projects and regularly blogs about the advances of AI in LinkedIn.

Nov 28, 202339 minSeason 9Ep. 4

Pieter De Backer: AI-assisted Surgical Training

Pieter De Backer leads the Innotech department at Orsi, a training and innovation centre in minimal invasive & robotic surgery located in Gent, Belgium. Pieter's team focuses primarily on developing AI based surgical systems and patient-specific 3D modeling.

Nov 21, 202352 minSeason 9Ep. 3